git clone https://github.com/ASallin/datahandling-lecture.git # to clone
git checkout 2025 # to switch to the branch "2025*
git pull origin 2025 # to updateLecture 1: Introduction
2026-02-20
Introductory yes, but not in the traditional sense of the term.
You know R, Data Handling, some of you did DSF, you are learning Econometrics.
This is the first time we give this course.
The materials are new, the syllabus is new.
The examination consists of two parts:
October 16: Release of Part 1 of the project (in lecture) and group formation.
November 6, 23:59: Intermediate submission (not graded).
November 7: Release of model solution for Part 1 and release of Part 2 of the project.
December 11, 10:00: Final submission (graded).
The entire project will be evaluated after the final submission.
Beyond the critical use of LLMs, students must demonstrate their own grasp of the material and ensure fair collaboration in group work, avoiding free-riding.
All information and materials (notes, slides, course sheet, syllabus, etc.) are available on Canvas.
Use github to be always updated about the course material
❌ Ask AI to write full programs for you
✅ Ask structured questions based on your own knowledge (idea: knowledge reinforcement)
✅ Use AI to explore unknown and new approaches
You want to compute the mean of each element of the list x.
mean(), and I know that it takes atomic vectors as argument. How do I apply the mean to each vector in the list? Give me two options, and explain pros/cons?”✅ Use AI as a translator
✅ Ask for explanations in plain language
✅ Get step-by-step descriptions
You have the following piece of code:
C.1 C.2 C.3
TRUE TRUE TRUE
Ask AI: “Explain line by line what this R code does in plain English. What does the option byrow = TRUE do?”
✅ Ask for tips to stay motivated and understand WHY you’re learning what you’re learning
✅ Ask for ways to make coding more enjoyable and directly relevant to your goals
✅ Ask for ways to make your code and thinking process more like the product of experts
You don’t see the point of learning to code functions and loops since AI can do it for you.
Ask AI: “Why is learning to program functions important for an economist/data scientist? Give me some real-life examples.”